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Voxel

DeepVoxels: Learning Persistent 3D Feature Embeddings
Vincent Sitzmann, Justus Thies, Felix Heide, Matthias Niessner, Gordon Wetzstein, Michael Zollhofer
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019, 2437-2446
Paper

DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, Steven Lovegrove
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019, 165-174
Paper

Point Cloud

Deep Hough Voting for 3D Object Detection in Point Clouds
Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas
In Proceedings of the International Conference in Computer Vision, 2019
Paper

Mesh

Deep Geometric Prior for Surface Reconstruction
Francis Williams, Teseo Schneider, Claudio Silva, Denis Zorin, Joan Bruna, Daniele Panozzo
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019, 10130-10139
Paper

DiscoNet: Shapes Learning on Disconnected Manifolds for 3D Editing
Eloi Mehr, Ariane Jourdan, Nicolas Thome, Matthieu Cord, Vincent Guitteny
In Proceedings of IEEE International Conference on Computer Vision (ICCV), 2019
Paper

AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation
Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018, 216-224
Paper

Primitive

Unsupervised Primitive Discovery for Improved 3D Generative Modeling
Salman H. Khan, Yulan Guo, Munawar Hayat, Nick Barnes
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019, 9739-9748
Paper

Other

Transformation-Grounded Image Generation Network for Novel 3D View Synthesis
Eunbyung Park, Jimei Yang, Ersin Yumer, Duygu Ceylan, Alexander C. Berg
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017, 3500-3509
Paper

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